Evidence map›Paper›PMID 35296109›Full record

ArticleSleep advances : a journal of the Sleep Research Society2022

Comparing polysomnography, actigraphy, and sleep diary in the home environment: The Study of Women's Health Across the Nation (SWAN) Sleep Study.

H Matthew Lehrer, Zhigang Yao, Robert T Krafty, Marissa A Evans, Daniel J Buysse, Howard M Kravitz, Karen A Matthews, Ellen B Gold, Sioban D Harlow, Laura B Samuelsson and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sleep advances : a journal of the Sleep Research Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 5 pooled it
17.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 5 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Daily-level associations between sleep hygiene, cannabis use, and sleep health outcomes.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

H Matthew LehrerDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0003-0239-5037
Zhigang YaoDepartment of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore.
Robert T KraftyDeparment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Marissa A EvansDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-9146-7890
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-3288-1864
Howard M KravitzDepartment of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-8013-783X
Karen A MatthewsDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Ellen B GoldDepartment of Public Health Sciences, University of California, Davis School of Medicine, Davis, CA, USA.
Sioban D HarlowDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Laura B SamuelssonDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Martica H HallDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0003-0642-2098
University of Pittsburgh · USEmory University · USNational University of Singapore · SGRush University Medical Center · USUniversity of California, Davis · USUniversity of Michigan · US

Funding

The Study of Women's Health Across the Nation (SWAN): The Impact of Midlife and the Menopause Transition on Health and Functioning in Early Old AgeU19AG063720 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SHERRI-ANN M BURNETT-BOWIE, Maria Mori Brooks · 2020 to 2026
$61.3M
WOMENS HEALTH ACROSS THE NATION--COORDINATING CENTERU01AG012553 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BROOKS, MARIA MORI · 1994 to 2019
$37.7M
WOMENS HEALTH ACROSS THE NATION--ENDOCRINE LABU01AG012495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MCCONNELL, DANIEL S · 1994 to 2018
$18.8M
WOMENS HEALTH ACROSS THE NATION--PITTSBURGHU01AG012546 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MATTHEWS, KAREN · 1994 to 2019
$16.2M
WOMENS HEALTH ACROSS THE NATION--UCDAVISU01AG012554 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI GOLD, ELLEN B. · 1994 to 2019
$14.5M
WOMENS HEALTH ACROSS THE NATION--UCLAU01AG012539 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GREENDALE, GAIL A · 1994 to 2018
$13.7M
THE STUDY OF WOMEN'S HEALTH ACROSS THE NATION-MICHIGANU01NR004061 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARLOW, SIOBAN D · 1994 to 2018
$12.9M
WOMENS HEALTH ACROSS THE NATION--CHICAGOU01AG012505 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI KRAVITZ, HOWARD M · 1994 to 2019
$11.9M
WOMENS HEALTH ACROSS THE NATION--MASSACHUSETTS GENERAL HU01AG012531 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI FINKELSTEIN, JOEL S · 1994 to 2019
$10.7M
Women's Health Across the Nation-New Jersey SiteU01AG012535 · NIA · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI DERBY, CAROL A. · 1994 to 2019
$9.2M
SWAN Sleep Study II: PittsburghR01AG019362 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HALL, MARTICA HELON · 2002 to 2008
$3.5M
Application of ambulatory methods for assessing short- and long-term associations of sleep health with cognitive decline in older adultsR01AG062622 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI BUXTON, ORFEU M, DERBY, CAROL A. · 2019 to 2022
$3.1M
NIA NIH HHS R01 AG019360NIA NIH HHS R01 AG019361NIA NIH HHS R01 AG019362NIA NIH HHS R01 AG019363NIA NIH HHS R01 AG062622NIA NIH HHS U01 AG012495NIA NIH HHS U01 AG012505NIA NIH HHS U01 AG012531NIA NIH HHS U01 AG012535NIA NIH HHS U01 AG012539NIA NIH HHS U01 AG012546NIA NIH HHS U01 AG012553NIA NIH HHS U01 AG012554NIA NIH HHS U19 AG063720NINR NIH HHS U01 NR004061
6 · The paper itself

Abstract

Study Objectives: Polysomnography (PSG) is considered the "gold standard" for assessing sleep, but cost and burden limit its use. Although wrist actigraphy and self-report diaries are feasible alternatives to PSG, few studies have compared all three modalities concurrently across multiple nights in the home to assess their relative validity across multiple sleep outcomes. This study compared sleep duration and continuity measured by PSG, actigraphy, and sleep diaries and examined moderation by race/ethnicity. Methods: Participants from the Study of Women's Health Across the Nation (SWAN) Sleep Study included 323 White ( Results: Actigraphy and PSG produced similar estimates of sleep duration and efficiency. Diaries yielded higher estimates of TIB, TST, and SE versus PSG and actigraphy, and lower estimates of SL and WASO versus PSG. Diary SL was shorter than PSG SL only among White women, and diary WASO was lower than PSG and actigraphy WASO among African American versus White women. Conclusions: Given concordance with PSG, actigraphy may be preferred as an alternative to PSG for measuring sleep in the home. Future research should consider racial/ethnic differences in diary-reported sleep continuity.

Indexed as

actigraphymethodsmiddle-aged womenpolysomnographyself-reportsleepsleep diary

Identifiers

PMID35296109
PMCPMC8918428
OpenAlexW4213151995

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.